Job Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in software development with one or more programming languages (e.g., Java, Python, JavaScript, TypeScript, or C++).
• Experience working with one or more of the following: web application development, distributed and parallel systems, software systems.

Preferred qualifications:

• Master's degree or PhD in Computer Science, or a related technical field.
• 5 years of experience in software development in a production environment.
• 1 year of experience in a technical leadership role.
• Experience with full-stack web development and modern frameworks like Angular or React.
• Experience in Generative AI, LLMs, or building AI agents.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Software Engineer on the Nexus Solutions Life Cycle team, you will help build the "Nerve Center" for Google's next-generation, intent-driven Software Development Life Cycle (SDLC). You will play a vital role in balancing the maintenance of mission-critical developer surfaces like Nexus Web and the Cider-V extension with the pioneering development of Project Basecamp.

In this role, you will execute technical tasks to develop specialized AI agents and next-generation UI components that facilitate seamless human-agent interaction. Working closely with other team members, you will deliver high-quality, testable code across full-stack surfaces that power the productivity of tens of thousands of engineers. This is a unique opportunity to expand your expertise while helping transition Google's engineering paradigm from manual task execution to agentic orchestration.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

• Maintain and enhance core features of Nexus Web and the Cider-V extension, ensuring Google's primary server management and development tools remain reliable, high-performing, and intuitive for tens of thousands of Googlers.
• Execute tactical subtasks to build and refine AI agents within Project Basecamp, supporting automated workflows for application scaffolding, release debugging, and production triage.
• Contribute to the development of next-generation UI components, enabling agents to present rich, interactive, and context-aware interfaces to developers.
• Deliver high-quality, well-factored, and testable code across full-stack surfaces, incorporating feedback from executive team members to ensure the resilience and maintainability of our developer-facing systems.
• Collaborate with cross-functional partners to identify and automate manual engineering toil, improving Product Feature Velocity (PFV) for both traditional inner-loop development and the emerging intent-driven SDLC.